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1. Exploring Effectiveness of HIDS for Machine-Learning Data Defense

open_access
Open Access
Author:
Vommi, Himani
Title:
Exploring Effectiveness of HIDS for Machine-Learning Data Defense
Area of Honors:
Information Sciences and Technology
Keywords:
cybersecurity
machine learning
SIEM
APT
advanced persistent threats
security validation
Splunk
HIDS
intrusion detection system
detection evasion
MITRE
File:
Download Exploring_Effectiveness_of_HIDS_for_Machine-Learning_Data_Defense_FINAL.pdf
Thesis Supervisors:
John Andrew Landmesser, Thesis Supervisor
Angela Lynn Putman, Thesis Honors Advisor